Software Engineer- GenAI

About the Team
Our engineering team is a diverse group of highly skilled professionals dedicated to creating innovative solutions and delivering exceptional user experiences. We foster a collaborative environment where every team member’s input is valued, and continuous learning is encouraged. We work closely with product managers, designers, and other stakeholders to ensure our applications meet the highest standards of quality and performance. The team is committed to adopting best practices in coding, testing, and deployment, leveraging the latest technologies to stay ahead in the industry.
About the Role
We are seeking a talented and passionate GenAI developers to join our dynamic team. This role is ideal for someone who thrives in a fast-paced, innovative environment and is eager to tackle complex problems. You will play a crucial role in building and maintaining our user-facing applications, ensuring they are robust, scalable, and performant. If you are excited about creating cutting-edge solutions and working on products that make a difference, we would love to hear from you.
Responsibilities:
•
Design, develop, and maintain scalable software solutions for PayU Payments’,
•
Collaborate with cross-functional teams to deliver high-quality software.
•
Analyse business and technical requirements; propose and implement effective solutions.
•
Apply strong problem-solving skills to troubleshoot and optimize existing systems.
•
Write clean, efficient, and well-documented code.
•
Explore, experiment with, and implement GenAI technologies where relevant.
•
Write clear and effective prompts for GenAI models, if required.
Requirements:
•
Prior experience integrating or working with GenAI APIs (e.g., OpenAI, Hugging Face, etc.).
•
Experience writing robust, production-grade Python code.
•
Familiarity with prompt engineering or using GenAI as part of your workflow.
•
Analytical thinker who enjoys tackling challenging problems.
•
Able to write and debug code independently.
•
Willingness to learn and experiment with new technologies, including AI.
•
Self-driven, with strong communication skills and a collaborative attitude.